White Paper

How Simulation-Based Digital Twins and the Industrial Internet of Things Can Improve Product and Process Performance

Simulation has long been used to improve the design of nearly every physical product or process by providing the opportunity to evaluate a wide range of alternative designs prior to building physical prototypes. Simulation has also long been used to model different operating scenarios to develop control strategies that are incorporated into control algorithms to improve operations. The emergence of the Internet of Things (IoT) has created the potential for a transformational journey in which a simulation model of the product or process is tied through the Internet to sensors capturing data and to actuators controlling its operation. The result is a so-called digital twin of the physical product or process that can be used to analyze and diagnose its operation and optimize its performance and maintenance in real time. By using simulation in conjunction with the IoT, companies can analyze the performance of products in real-world operating conditions and make confident predictions about future performance to improve product operation and productivity, and to reduce the cost and risk of unplanned downtime.

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Digital Twins: Making the Vision Achievable

Few business concepts are generating the buzz of digital twins — product replicas that can help target performance issues and allow for true predictive maintenance. While the benefits are obvious, companies have struggled with how to achieve this vision. But now there is a practical solution.

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The Value of High-Performance Computing for Simulation

The Value of High-Performance Computing for Simulation – White Paper

High-Performance Computing (HPC) is one of the key enablers for improving engineering productivity and getting higher-fidelity insight into product performance. But, how does the cost of HPC software relate to the engineering value being delivered? Download “The Value of HPC for Simulation” and learn how software licensing and pricing models can ensure the highest value for engineering simulation workloads while enabling a sustained investment in software developments. With scalable and value-based licensing models, a wide range of simulation usage scenarios – from HPC capability, capacity to parametric computing – can be covered while ensuring the best return on hardware and software investment.

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Ansys Composite Cure Simulation – White Paper

Ansys Composite Cure Simulation – White Paper

Process-induced deformations are a major concern when manufacturing with composite materials. The traditional trial-and-error approach can work for simple geometries, but composite parts with complex shapes require more sophisticated models. The Ansys Composite Cure Simulation Toolbox (ACCS) enables you to simulate complex composite parts, optimizing your design while saving time and expense by reducing the product design cycle.

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Debunking Six Myths of High-Performance Computing

This white paper debunks the leading misconceptions about HPC, and, in doing so, will assist engineering managers and directors as they make decisions regarding HPC. While dispelling these misconceptions, we will share resources and provide insight to help organizations steer around possible failure points as they consider HPC.

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Optimized Model- Based Verification Process to Comply with DO-178C DO-331 Objectives

The development of Safety Critical Software requires a strong effort on the verification side to satisfy the required level of quality. This effort may sometimes reach until 60% of the total cost of the project when we address DO-178C level A applications. In this context of rigorous software development, various verification techniques have been proposed to streamline software verification while preserving the safety of the application. Model-based verification can be considered as one of the most efficient. It includes several verification techniques such as Model check, Model simulation (including Rapid Prototyping) and Model coverage. On the basis of these techniques, most of the verification activities can be carried out at model-level thus identifying problems earlier in the development cycle. The SCADE Test® Product Line fully supports a model-based verification process. It includes several verification modules such as SCADE Test Rapid Prototyper, Test Model Coverage, Test Environment for Host and Target Test Execution with a connection to the LDRA Target Test Environment. The combination of both SCADE Test and LDRA Testing Environment supports an integrated verification flow from early validation of requirements to the final execution of EOC on target. This presentation will detail the process for verifying a model-based application developed with SCADE and will highlight how SCADE Test combined with LDRA Test Environment can satisfy the DO-178C/DO-331 verification objectives.

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